Software for Maintenance Management in Industry 4.0

CMMS IOTIA

The IOTIA platform is a scalable CMMS that can be configured for companies of any size and any number of plants.

Centralized Data Hub
It collects and stores data from maintenance teams (work orders, costs, execution times) as well as operational data directly from sensors and PLCs on the production lines.
Real-Time Monitoring & Analysis
Operators and managers can track equipment performance live and quickly identify any deviations or potential failures.
Interdepartmental Collaboration
Flexible modules for Production, Maintenance, Sales, and Procurement.

Configurator

You define assets by their subassemblies and components and track their history and RUL. This allows for quick instantiation on production lines and provides deeply integrated graphical visualizations.

Preventive Maintenance

You plan and track preventive/reactive interventions and manage component requests. The system includes ERP/SAP integration and live video support for field technicians.

Proactive Maintenance

You continuously monitor the condition of assets and detect anomalies early using statistics, machine learning, and deep learning. Data is collected through cloud pipelines, displayed with interactive charts, and triggers alarms for critical values.

Predictive Maintenance

You use predictive classification and regression models to diagnose and forecast the Remaining Useful Life (RUL) of components and machines. We implement advanced solutions for analyzing vibrations and other parameters to get precise estimates and detect defects early.

Administration

Instantiate production lines with the configured equipment and manage all assets within the application. Plan and schedule interventions with the Intervention Generator and define training sessions through online questionnaires. Track every maintenance operation during an intervention, including time and costs. Designed for users with planning and validation permissions.

Web Interface for Tablet and AR Glasses

Technicians can perform on-site operations using a tablet, phone, or AR glasses with augmented reality. Scanning AR/QR codes gives them instant details about components, maintenance history, and technical documentation. The system also includes video conferencing for remote support during inspections and repairs.

Data Collection and Monitoring

Real-time data acquisition from sensors, machines, and PLCs. Our custom pipelines support multiple protocols and send data to a time-series database for advanced monitoring and analysis.

Technical Manual Generator - Equipment.

For industrial equipment manufacturers, this automatically generates multilingual technical manuals based on the product model and configuration. You can select sections from existing PDF files and edit the descriptive parameters and language of the manuals directly within the platform.

Configuration and Order Tracking

Allows Production and Sales departments to configure industrial equipment based on customer requirements and track the order flow. Define descriptive parameters for each order and facilitate collaboration between sales and technicians through multiple statuses until completion.

Utilities and Technical Libraries

Create technical libraries with a tree-like directory structure to quickly organize industrial documentation. The system should also include activity logs, file export, announcement management, and an operations calendar.

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Analiza Data Analysis

Analyze & Prediction

We offer advanced analytics tools and machine learning / deep learning models, tested on standardized datasets, for anomaly detection, performance evaluation, and Remaining Useful Life (RUL) prognosis.

Remaining Useful Life (RUL)

We estimate the remaining useful life of equipment using predictive ML models.

We use advanced machine learning algorithms to estimate RUL (Remaining Useful Life) and optimize maintenance scheduling, preventing unexpected interruptions.

Anomaly Detection

We quickly identify anomalies by analyzing data, thus preventing defects and production interruptions.

Our anomaly detection techniques use advanced data science algorithms and models to sense unusual equipment behaviors, enabling quick interventions and avoiding unplanned stoppages.

Defect Classification

We rapidly identify and classify defect types, optimizing prevention and extending equipment life.

Our statistical and machine learning models analyze data from sensors, PLCs, and CMMS to recognize different types of defects, giving you precise information for effective preventive measures.

Hardware Solutions

We offer customized hardware for real-time streaming and collection of vibration and temperature data.

We design embedded systems with sensors and a PLC interface to capture vibration, temperature, and other parameters, ensuring perfect integration with your existing infrastructure and providing personalized consulting support.

Digital Twin

A Digital Twin creates a virtual replica of machines and systems based on real-time operational data.

In VR, you can simulate operational scenarios and parameter variations, testing system behavior and anticipating potential issues—any real-world change is instantly rendered in the digital model.

Custom Models

Based on advanced data analysis, machine learning algorithms can predict maintenance needs and detect anomalies early

With AI and ML algorithms, we can help manufacturing companies find new efficiencies, reduce waste to save money, and understand market trends and changes.

More about AI

CMMS

Software modules for maintenance management in Industry 4.0.

Project Management

Tracking tasks and activities within project teams.

Big Data
analysis

Analysis of large-scale data and the implementation of neural and statistical models for prediction and diagnostics.

Ticketing
system

A ticketing system for resolving inter-departmental issues.

CRM

Customer relationship management (quotes, orders, contracts, invoices, payments)

Remote
Assistance

Integrated videoconferencing system for remote technician support.

Configurator for technical manuals.

Technical manual configurator for industrial products produced during the manufacturing process.

Implementation Steps

Process Flow

Discussion

We identify the needs and types of maintenance suitable for your organization. We plan and track interventions (scheduled or emergency), monitor work status and costs, and everything is orchestrated through the IOTIA preventive maintenance module (intervention sheets, timesheets, Gantt charts, attached libraries, and internal ticketing).

Analysis & Monitoring

We identify critical equipment and install sensors for continuous data collection in the cloud. Through charts and reports, technicians and managers monitor the performance, intervention history, and status of machines in real time. An anomaly alert allows for immediate interventions, while predictive models trained on historical data provide forecasts for optimizing planning and performance.

Integration

We tailor IOTIA’s modules—monitoring pipelines, data analysis, predictive models, and process workflows—to fit your existing factory systems and automation level.
During implementation, we customize the platform to your specific requirements and software landscape, ensuring seamless integration.
Predictive maintenance setups may require extended data collection to train accurate failure-prediction models. By learning from complete failure datasets, these models deliver reliable forecasts but involve a longer rollout period.

Delivery

Once implementation is complete, IOTIA can be delivered as a SaaS subscription (monthly) or deployed on-premises under a perpetual license, hosted in the cloud or on your own servers.
We also offer ongoing content-management services, such as:

Importing technical machine data into the Configurator module
Configuring maintenance tasks and schedules
Uploading and organizing technical and video libraries
Creating tailored training questionnaires

Additionally, Impro-Media provides professional support in producing safety-training (SSM) videos and maintenance-procedure films, leveraging our extensive video production expertise.

Internet of Things & Industrial Automation

Please fill out the form to receive more information.

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Name*

Company Name*

Company Email*

Phone/ Skype Id/ Others*

Role in Company*

Maintenance team size*

Number of assets*

Where are your maintenance records stored?*

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IIoT SOLUTIONS FOR INDUSTRY 4.0